CancerGeneNet: linking driver genes to cancer hallmarks.
Marta IannuccelliElisa MicarelliPrisca Lo SurdoAlessandro PalmaLivia PerfettoIlaria RozzoLuisa CastagnoliLuana LicataGianni CesareniPublished in: Nucleic Acids Res. (2020)
Keyphrases
- gene selection
- dna microarray
- gene expression profiles
- cancer classification
- gene expression
- microarray data
- microarray
- colon cancer
- cancer diagnosis
- candidate genes
- gene expression data
- microarray technology
- gene expression data sets
- gene expression datasets
- cancer datasets
- biologically significant
- microarray datasets
- related genes
- microarray data analysis
- gene ontology terms
- breast cancer
- cell lines
- ovarian cancer
- molecular biology
- feature selection
- tissue samples
- gene expression patterns
- gene expression data analysis
- gene expression profiling
- biologically relevant
- gene ontology
- biologically meaningful
- microarray gene expression data
- genomic data
- gene sets
- random forest
- gene expression analysis
- high throughput
- regulatory networks
- early detection
- cancer patients
- gene regulatory networks
- driver assistance systems
- biological processes
- cell cycle
- gene clusters
- cancer cells
- differentially expressed genes
- cluster analysis
- survival prediction
- gene networks